chore: import upstream snapshot with attribution

2026-07-13 13:21:23 +08:00
commit b957a53def
5423 changed files with 863745 additions and 0 deletions
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+# Copyright (c) Microsoft. All rights reserved.
+
+from typing import ClassVar
+
+from semantic_kernel.connectors.ai.bedrock.services.model_provider.bedrock_model_provider import BedrockModelProvider
+from semantic_kernel.kernel_pydantic import KernelBaseSettings
+from semantic_kernel.utils.feature_stage_decorator import experimental
+
+
+@experimental
+class BedrockSettings(KernelBaseSettings):
+    """Amazon Bedrock service settings.
+
+    The settings are first loaded from environment variables with
+    the prefix 'BEDROCK_'.
+    If the environment variables are not found, the settings can
+    be loaded from a .env file with the encoding 'utf-8'.
+    If the settings are not found in the .env file, the settings
+    are ignored; however, validation will fail alerting that the
+    settings are missing.
+
+    Optional settings for prefix 'BEDROCK_' are:
+        - chat_model_id: str | None - The Amazon Bedrock chat model ID to use.
+            (Env var BEDROCK_CHAT_MODEL_ID)
+        - text_model_id: str | None - The Amazon Bedrock text model ID to use.
+            (Env var BEDROCK_TEXT_MODEL_ID)
+        - embedding_model_id: str | None - The Amazon Bedrock embedding model ID to use.
+            (Env var BEDROCK_EMBEDDING_MODEL_ID)
+        - model_provider: BedrockModelProvider | None - The Bedrock model provider to use.
+            If not provided, the model provider will be extracted from the model ID.
+            When using an Application Inference Profile where the model provider is not part
+            of the model ID, this setting must be provided.
+            (Env var BEDROCK_MODEL_PROVIDER)
+    """
+
+    env_prefix: ClassVar[str] = "BEDROCK_"
+
+    chat_model_id: str | None = None
+    text_model_id: str | None = None
+    embedding_model_id: str | None = None
+    model_provider: BedrockModelProvider | None = None